Whisper_e8eae673-8dea-4ce6-b9ac-7541bbcff1c8

This model is a fine-tuned version of openai/whisper-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0833

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
3.3764	10.0	10	2.3759
0.7583	20.0	20	1.4695
8.3335	30.0	30	6.5259
6.1162	40.0	40	3.0373
0.468	50.0	50	2.0833

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1